• Journal of the Korea Institute of Information Security & Cryptology
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• v.26 no.2
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• pp.551-558
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• 2016

The recent convergence in ICT industry has created new businesses as well as other opportunities. However, it entails new convergence threat accompanied by security risks. Even though there are security professionals who are dealing with the situation, there is not enough human resource in risk management. Moreover, the amount of research that studies quality of education and training security personnel is not sufficient. This paper explores the curriculum of information security education in the private sector and reasons out fifteen standard curriculums in four professional fields categorized by job classification. In addition, it provides a weighted score table based on the evaluation indicator for the effective security education certificates in the private sector.

• The korean journal of orthodontics
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• v.35 no.1 s.108
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• pp.69-81
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• 2005

As one of the variations in growth and development of the craniofacial complex. malocclusion shows lack of concordance In the recognition and severity of malocclusion for dentists as well as the acceptance and need of orthodontic treatment for the patient The purposes of this study were 1) to examine the relationships between objective malocclusion severity aid subjective treatment difficulty. 2) to evaluate the effect of malocclusion components to the subjective perceived difficulty of treatment. 3) to establish the weighted values of malocclusion components to reflect the treatment difficulty 100 pairs of dental casts with the general characteristics of malocclusion. were selected from the orthodontic departments of Kyunghee University and Samsuug Medical Center. The severity of malocclusion was evaluated by the author with the PAR index The perceived treatment difficulty and the estimated treatment duration on these dental models were evaluated by 8 experienced orthodontists. The relationships between the objective malocclusion severity and the subjective treatment difficulty were statistically evaluated. and the weighted values of malocclusion components to reflect treatment difficulty were statistically formulated. There were significant relationships between objective malocclusion severity and subjective treatment difficulty The malocclusion components which significantly affected the treatment difficulty and their weighted values in parentheses were as follows upper anterior alignment(1). overbite (2). buccal occlusion (3) middline (4), and overjet (5). This study Provides the fundamental principle to evaluate the objective malocclusion severity which is reflected by the subjective treatment difficulty of Korean orthodontists.

• The Journal of the Korea Contents Association
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• v.12 no.10
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• pp.1-10
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• 2012

Many statistical methods have been adapted for terminology recognition to improve its accuracy. However, since previous studies have been carried out in a single core or a single machine, they have difficulties in real-time analysing explosively increasing documents. In this study, the task where bottlenecks occur in the process of terminology recognition is classified into linguistic processing in the process of 'candidate terminology extraction' and collection of statistical information in the process of 'terminology weight assignment'. A terminology recognition system is implemented and experimented to address each task by means of the distributed parallel processing-based MapReduce. The experiments were performed in two ways; the first experiment result revealed that distributed parallel processing by means of 12 nodes improves processing speed by 11.27 times as compared to the case of using a single machine and the second experiment was carried out on 1) default environment, 2) multiple reducers, 3) combiner, and 4) the combination of 2)and 3), and the use of 3) showed the best performance. Our terminology recognition system contributes to speed up knowledge extraction of large scale science and technology documents.

• Proceedings of the Korean Society of Computer Information Conference
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• 2009.01a
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• pp.337-344
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• 2009

본 연구는 노인복지시설의 성과평가에 미치는 우선순위 결정요인을 파악한다. 이론적 고찰과 선행연구를 통하여 노인 복지시설에 미치는 결정요인을 설정하였다. Saaty의 계층분석과정(Analytic Hierarchy Process; AHP)를 활용하여 각각의 결정요인들에 대한 가중치와 우선순위를 분석하였다. 노인복지는 특정한 분야로 한정되어 있지 않기 때문에 양적인 방법만으로 설명하는 것은 한계가 있다. 따라서 질적 및 양적 방법을 활용할 수 있는 계층분석과정방법과 SPSS프로그램을 이용하여 실증분석을 하였다. 노인복지시설의 분석결과를 요약하면 투입에 대한 상대적 중요도를 분석한 결과 예산이 가장 높게 나왔으며, 산출에 대한 상대적 중요도를 분석한 결과는 운영체계화와 노인복지성이 가장 높게 나타났다. 세부항목 간의 상대적 중요도를 분석한 결과는 결산서와 전문인력이 가장 높게 나타났다. 시설유형별 투입요인은 이용시설과 생활시설 모두 예산이 가장 높게 나타났으며, 산출요인은 이용시설은 운영체계화, 생활시설은 노인복지성이 가장 높게 나타났다. 노인복지시설에 미치는 결정요인에 따른 몇 가지 구체적인 정책적 시사점을 대안으로 제시하였다.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.34 no.1
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• pp.305-316
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• 2014

The current global water market has been reshaped with a few multinational water companies, water-specialized companies, and other non-construction companies such as manufacturing and financial companies. Each has different business objectives along with the value chain of water industry. In this context, a SWOT-ANP model is proposed to prioritize strategic alternatives for a non-construction company in Korea and the result is validated through a comparison with the AHP model and real business strategies of the company examined from the recent news reports. The validation was confirmed that the company's strategies are very much similar to the priority list and the rankings of the strategic alternatives are identical with those from AHP model, while the weights are slightly changed from the weights in AHP result.

• The KIPS Transactions:PartB
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• v.12B no.6 s.102
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• pp.703-714
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• 2005

Researches in text categorization have been confined to whole-document-level classification, probably due to lacks of full-text test collections. However, full-length documents availably today in large quantities pose renewed interests in text classification. A document is usually written in an organized structure to present its main topic(s). This structure can be expressed as a sequence of sub-topic text blocks, or passages. In order to reflect the sub-topic structure of a document, we propose a new passage-level or passage-based text categorization model, which segments a test document into several Passages, assigns categories to each passage, and merges passage categories to document categories. Compared with traditional document-level categorization, two additional steps, passage splitting and category merging, are required in this model. By using four subsets of Routers text categorization test collection and a full-text test collection of which documents are varying from tens of kilobytes to hundreds, we evaluated the proposed model, especially the effectiveness of various passage types and the importance of passage location in category merging. Our results show simple windows are best for all test collections tested in these experiments. We also found that passages have different degrees of contribution to main topic(s), depending on their location in the test document.

• KIPS Transactions on Software and Data Engineering
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• v.7 no.6
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• pp.229-238
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• 2018

The rapid response of disaster accidents can be archived through the organical involvement of various disaster and safety control agencies. To define the terminology of disaster safety is essential for communication between disaster safety agencies and well as announcement for the public. Also, to efficiently construct a word dictionary of disaster safety terminology, it's necessary to define the priority of the terms. In order to establish direction of word dictionary construction, this paper compares the usage of disaster safety terminology by media: word dictionary, new media, and social media, respectively. Based on the terminology resources collected from each media, we visualized the distribution of terminology according to frequency weights and analyzed co-occurrence patterns. We also classified the types of terminology into four categories and proposed the priority in the construction of disaster safety word dictionary.

• Journal of the Korean Institute of Intelligent Systems
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• v.19 no.2
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• pp.212-217
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• 2009

There are rule-based learning method and statistic based learning method and so on which represent learning method for hierarchy relation between domain term. In this paper, we propose to leveling and similarity measure using the extended AHP of fuzzy term in Information system. In the proposed method, we extract fuzzy term in document and categorize ontology structure about it and level priority of fuzzy term using the extended AHP for specificity of fuzzy term. the extended AHP integrates multiple decision-maker for weighted value and relative importance of fuzzy term. and compute semantic similarity of fuzzy term using min operation of fuzzy set, dice's coefficient and Min+dice's coefficient method. and determine final alternative fuzzy term. after that compare with three similarity measure. we can see the fact that the proposed method is more definite than classification performance of the conventional methods and will apply in Natural language processing field.

• Journal of Convergence for Information Technology
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• v.11 no.1
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• pp.175-182
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• 2021

The purpose of this study is to establish the direction of industrial policy by comparing the employment inducement effect on the related industries of the digital bio-healthcare industry. The analysis data used the three-year input-output table measured by the Bank of Korea. First, the research method was rewritten into 7 major industries to compare statistical data by period. Second, the Bank of Korea's industry-related analysis methodology was utilized. Third, the weight was reflected and compared by employment, production, and investment sectors of the digital bio-healthcare industry. As a result of the analysis, first, the employment sector had a higher effect than the average of the entire industry, second, the production sector was low, and third, the investment sector required investment in the service sector. The conclusions drawn from the analysis showed that direct investment and continuous investment are required in the employment sector, the development of professional manpower is urgent, and direct investment and long-term investment are effective in the production sector.

• Journal of Korean Society of Transportation
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• v.26 no.4
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• pp.195-204
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• 2008

Multi-Criteria Analysis is one method for optimizing decisions that include numerous characteristics and objective functions. The Analytic Hierarchy Process (AHP) is used as a general Multi-Criteria Analysis considering many critical issues. However, since validation procedures for the decision reliability of AHP valuers had been left off existing methodologies, a new methodology including such validation procedures is required to make more reliable decisions. In this research, idea decision results are derived using Monte Carlo Simulation in cases where AHP valuers do not have expertise in the specific project, and these results are compared with the results derived from experts to develop a new analysis model to make more reliable decisions. Finally, this new analysis is applied to various field case studies of road and rail carried out by the Korea Development Institute (KDI) between 2003 and 2006 to validate the new analysis model. The study found that approximately 20% of decisions resulting from the existing methodology are considered prudent. In future studies, the authors suggest analyzing the correlation between initial weights and final results since final results are enormously influenced by the initial weight.